Risk Data Scientist in Bucuresti

Bucharest, Romania This is Worldline. Worldline helps businesses of all shapes and sizes to accelerate their growth journey - quickly, simply, and securely. We are the innovators at the heart of the payments technology industry, shaping how the world pays and gets paid. Our technology powers the growth of millions of businesses across 5 continents. And just as we help our customers accelerate their business, we are committed to helping our people accelerate their careers. Together, we shape the evolution. The Opportunity The Data Scientist turns the huge amounts of data generated by payment transactions into unique insights that improve our measurement, monitoring and steering of merchant risk. He/she explores the opportunities that innovative machine learning, data mining and statistical analysis can bring to create value for merchant risk management. He/she collaborates with product teams, operations, data engineers and risk and compliance experts to plan, develop and deliver advanced analytics projects from start to finish, including all stages of project identification, stakeholder engagement, project management, and closeout. Day-to-Day Responsibilities​ In close collaboration with IT solutions & project teams, participate in the design, implementation and maintenance of the Risk Data Management solution that fully supports risk data aggregation capabilities, sound risk reporting & modelling practices and state-of-the-art data science capabilities! Participate in data management initiatives regarding risk data (data quality, data governance, etc.) Conduct periodic stress test to identify factors that could potentially negatively impact the risk/reward of the portfolio and propose mitigation actions Design, implement and maintain advanced merchant risk predictive models Contribute to the development of merchant risk steering and portfolio view Automate and handle the merchant portfolio risk reporting covering credit risk, fraud risk, card scheme compliance risk and AML risk Works with models related to Risk scoring, stress testing Creates analyses for the purpose of portfolio segmentation and clustering Fits predictive modelling of future transaction flows and possible risky partners Who Are We Looking For We look for big thinkers. People who can drive positive change, step up and show what’s next – people with passion, can-do attitude and a hunger to learn and grow. In practice this means: Master of Sciences degree in a quantitative field (Statistics, Data Science, Quantitative marketing, Quantitative finance or similar) Good knowledge of predictive models and probability/statistics fundamentals such as linear and logistic regression Excellent knowledge of machine learning algorithms including classifiers, clustering algorithms, and anomaly detection Excellent understanding of relational model for database management and data modeling principles (conceptual/logical data models) Working knowledge of either R, Python or SAS for both data manipulation and statistical analysis Takes personal ownership, autonomous Result oriented and diligent with a strong ability to prioritize work in a fast paced and changing environment Learns continuously; seeks out knowledge, ideas and feedback Good communication skills for interacting effectively with both business and technical development teams ! Fluent English Experience in the financial services industry a plus Perks & Benefits At Worldline you’ll get the chance to be at the heart of the global payments technology industry and shape how the world pays and gets paid. On top of that, you will also: Hybrid Working Policy Gift vouchers on the occasion of Christmas/Easter Holidays Private medical services 21 vacation days/year Referral bonuses for new hires recommended by you WFH & Flexible Working Hours Full access to the “Learning” platform